{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,26]],"date-time":"2026-06-26T04:15:10Z","timestamp":1782447310326,"version":"3.54.5"},"reference-count":31,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61702077"],"award-info":[{"award-number":["61702077"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61374154"],"award-info":[{"award-number":["61374154"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2018,1]]},"DOI":"10.1109\/tnnls.2016.2574963","type":"journal-article","created":{"date-parts":[[2017,12,21]],"date-time":"2017-12-21T14:56:43Z","timestamp":1513868203000},"page":"238-244","source":"Crossref","is-referenced-by-count":110,"title":["Laplacian Echo State Network for Multivariate Time Series Prediction"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2964-4884","authenticated-orcid":false,"given":"Min","family":"Han","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meiling","family":"Xu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2010.2089641"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2006.885113"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2162109"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2316291"},{"key":"ref12","first-page":"1526","article-title":"Prediction of multivariate time series based on reservoir principal component analysis","volume":"24","author":"han","year":"2009","journal-title":"Control Decision"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-87536-9_83"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2013.2250353"},{"key":"ref15","article-title":"Dimensionality reduction: A comparative review","author":"van der maaten","year":"2009"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2013.2275732"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2011.2170219"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2012.2204155"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1999.10474199"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2013.09.049"},{"key":"ref27","article-title":"The Laplacian eigenmaps latent variable model","author":"carreira-perpi\u00f1\u00e1n","year":"0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s11063-013-9318-5"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1126\/science.1091277"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1162\/neco.2007.19.1.111"},{"key":"ref5","first-page":"790","author":"haykin","year":"2009","journal-title":"Neural Networks and Learning Machines"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2014.2311855"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2010.01.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2013.2265084"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2007.12.020"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2010.10.015"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2011.2169636"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2013.6706899"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2012.07.005"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2012.2190420"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"365","DOI":"10.1007\/s13218-012-0204-5","article-title":"Reservoir computing trends","volume":"26","author":"luko\u0161evi?ius","year":"2012","journal-title":"KI-Künstliche Intell"},{"key":"ref26","first-page":"1","article-title":"Which lag length selection criteria should we employ?","volume":"3","author":"liew","year":"2004","journal-title":"Economics Bulletin"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000015879.28004.9b"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/5962385\/8244326\/08233420.pdf?arnumber=8233420","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T11:41:40Z","timestamp":1641987700000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/8233420\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,1]]},"references-count":31,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2016.2574963","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,1]]}}}